Full electric quantity acquisition data checking method and system

Abstract

The invention belongs to the technical field of electrical engineering application, and provides a full electric quantity collection data checking method and system, and the method comprises the steps: obtaining the timestamps of the electric quantity data of a metering interval meter and the timestamps of the electric quantity data of a data reference source collected at different collection moments in a historical checking period, and carrying out the comparison and analysis, obtaining and analyzing a delay check period to obtain a delay performance value, comparing the delay performance value with a delay performance threshold value, and if the delay performance value is greater than or equal to the delay performance threshold value, determining that the delay check period is greater than or equal to the delay performance threshold value; if yes, it is judged that the data updating synchronism between the electric quantity data of the metering interval meter and the electric quantity data of the data reference source is poor and regular time deviation exists in data updating, a regular asynchronous signal is generated, and an acquisition interval time setting coefficient is obtained based on the regular asynchronous signal; the electric quantity data of the data reference source are collected according to the collection interval time setting coefficient, and the accuracy of electric quantity data checking is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of electrical engineering application, and in particular to a method and system for verifying full electric quantity collection data. Background Art

[0002] In the power system, the accuracy of basic data is directly related to the reliability and accuracy of power measurement, which in turn affects the practicality of the system. At present, in practice, there are many problems in data verification, such as asynchronous data update and abnormal data transmission, which will lead to inaccurate data verification and unreliable power measurement.

[0003] A Chinese patent application with announcement number CN110780261B discloses a method and system for verifying electricity collection data, including: obtaining active electricity, reactive electricity, and electrical parameters of a metering interval meter at a set time interval T0, obtaining electrical parameter information collected from a data reference source at a certain time interval T1, T1=T0 / n, n is a positive integer, and calculating the active power average value P1, reactive power average value Q1, current average value I1, and voltage average value U1, combining the active electricity, reactive electricity, and electrical parameters of the metering interval meter to calculate the accuracy of each parameter data of the electric energy meter, and compare it with the corresponding set threshold to determine whether the collected electricity data is abnormal.

[0004] In the above-mentioned prior art, the active power, reactive power, electrical parameters and other data of the metering interval meter collected at the set time interval are calculated and analyzed with the electrical parameter information collected by the data reference source to obtain an accuracy value, thereby judging whether the power data is abnormal. However, the above-mentioned prior art lacks analysis on the synchronization of its collected power data, and cannot ensure that the collected power data of the metering interval meter and the collected electrical parameter information of the data reference source are synchronized in time. If the synchronization of the collected data in time cannot be ensured, it will lead to errors in data calculation and analysis and misjudgment of abnormal power data. That is to say, when calculating, checking and analyzing the power data, the above-mentioned prior art lacks the necessary prerequisite for verification and analysis, namely, data synchronization.

[0005] To this end, the present invention provides a method and system for verifying full power collection data. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a method for checking the full power collection data, comprising: In multiple historical verification cycles, the timestamps of the electricity data of the metering interval meters collected at different collection times in each historical verification cycle and the timestamps of the electricity data of the data reference source are obtained, and compared and analyzed. The historical verification cycle is marked according to the analysis results to obtain the delay verification cycle. Based on the analysis of the delay verification cycle, the delay performance value is obtained; Compare the delay performance value with the delay performance threshold, if the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the power data of the metering interval meter and the power data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; Based on the regular asynchronous signal, the collection interval setting coefficient is obtained, and based on the collection interval setting coefficient, the power data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the power data of the metering interval meter, and the calculation result is compared with the corresponding data accuracy threshold, and according to the comparison result, it is judged whether the power data of the metering interval meter is consistent with the power data of the data reference source, and the power data of the metering interval meter is marked to obtain the non-consistent power data; Obtain the percentage performance value of the non-matching electricity data within the verification period, compare the percentage performance value with the percentage performance threshold, and determine the accuracy of data matching between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source.

[0008] As a further technical solution of the present invention, the process of obtaining the delay verification period is as follows: The number ratio Ys of the abnormal timestamp group, the number ratio Dy of the first timestamp group, and the deviation performance value Bx of the first timestamp group are obtained and data processing is performed, through the formula: The time deviation performance value YB is obtained, where s1, s2 and s3 are all prediction proportional coefficients; Compare the time deviation performance value YB with the time deviation number performance threshold; If the time deviation performance value YB is greater than or equal to the time deviation performance threshold, the historical verification period is marked as a delayed verification period.

[0009] As a further technical solution of the present invention, the number ratio Ys of the abnormal timestamp group is obtained as follows: Integrate the timestamp of the electricity data of the metering interval meter collected at the same collection time within the historical verification period and the timestamp of the electricity data of the data reference source into a timestamp group; Compare timestamps within a timestamp group: If the timestamps in a timestamp group are not equal, then the timestamp group is marked as an abnormal timestamp group; The number of abnormal timestamp groups in all timestamp groups is obtained, and the number of abnormal timestamp groups is compared with the number of timestamp groups to obtain the ratio of the number of abnormal timestamp groups Ys; The first timestamp group quantity ratio Dy is obtained in the following manner: Perform difference processing on the timestamps in the abnormal timestamp group to obtain the time deviation of the abnormal timestamp group; If the time deviation is negative, its abnormal timestamp group is marked as a negative abnormal timestamp group; If the time deviation is positive, its abnormal timestamp group is marked as a positive abnormal timestamp group; Count the number of positive abnormal timestamp groups and the number of negative abnormal timestamp groups in all abnormal timestamp groups. If the number of positive abnormal timestamp groups is greater than the number of negative abnormal timestamp groups, mark the positive abnormal timestamp group as the first timestamp group. If the number of positive abnormal timestamp groups is less than the number of negative abnormal timestamp groups, mark the negative abnormal timestamp group as the first timestamp group. Ratio the number of first timestamp groups to the number of abnormal timestamp groups to obtain the first timestamp group quantity ratio, which is marked as Dy.

[0010] As a further technical solution of the present invention, the deviation performance value Bx of the first timestamp group is obtained in the following manner: Perform difference processing on the timestamps in the first timestamp group to obtain the time deviation of the first timestamp group, sum and average the time deviations of all the first timestamp groups after taking the absolute values ​​to obtain the absolute mean of the time deviations, perform difference processing on the time deviation of the first timestamp group and the absolute mean of the time deviations, and take the absolute value of the difference to obtain the time relative deviation of the first timestamp group, sum and average the time relative deviations of all the first timestamp groups to obtain the time relative deviation mean of the first timestamp group, perform ratio processing on the time relative deviation mean of the first timestamp group and the absolute mean of the time deviation to obtain the deviation performance value of the first timestamp group, and mark it as Bx.

[0011] As a further technical solution of the present invention, the delay performance value is obtained by: Obtain the number ratio SL of the delay check cycle, the number ratio HD of the target delay check cycle, and the relative performance value XD of the target delay check cycle and perform data processing, using the formula: Obtain a delay performance value YC, where a1, a2 and a3 are all preset proportional coefficients; The number ratio SL of the delay check period is obtained as follows: The number of its delayed verification cycles is obtained, and the number of delayed verification cycles is ratioed with the number of historical verification cycles to obtain a delayed verification cycle ratio SL.

[0012] As a further technical solution of the present invention, the target delay check period number ratio HD is obtained in the following manner: In the delay check period, if the first timestamp group is a negative abnormal timestamp group, the delay check period is marked as a negative delay check period, and if the first timestamp group is a positive abnormal timestamp group, the delay check period is marked as a positive delay check period; Count the number of positive delay check cycles and the number of negative delay check cycles in all delay check cycles. If the number of positive delay check cycles is greater than the number of negative delay check cycles, mark the positive delay check cycle as the target delay check cycle. If the number of positive delay check cycles is less than the number of negative delay check cycles, mark the negative delay check cycle as the target delay check cycle. Ratio the number of target delay check cycles to the number of delay check cycles to obtain the target delay check cycle ratio HD.

[0013] As a further technical solution of the present invention, the relative performance value XD of the target delay check period is obtained as follows: Obtain the deviation performance value Bx of the first timestamp group within the target delay verification period, sum and average the deviation performance values ​​Bx of the first timestamp group within all target delay verification periods to obtain the deviation performance mean of the target delay verification period, perform difference processing on the deviation performance value Bx of the first timestamp group within the target delay verification period and the deviation performance mean, and take the absolute value of the result to obtain the relative performance difference of the target delay verification period, sum and average the relative performance differences of all target delay verification periods to obtain the relative performance difference mean of the target delay verification period, perform ratio processing on the relative performance difference mean of the target delay verification period and the deviation performance mean of the target delay verification period to obtain the relative performance value XD of the target delay verification period.

[0014] As a further technical solution of the present invention, the collection interval time setting coefficient includes a collection interval time setting value; The acquisition method of the acquisition interval setting value is: Get the target delay verification cycle. If the target delay verification cycle is a negative delay verification cycle, then get the interval time of collecting the electricity data of the metering interval meter within the historical verification cycle and mark it as T 0， The time deviations of all abnormal timestamp groups within the target delay verification period are averaged after taking their absolute values ​​to obtain the mean time deviation within the target delay verification period. The mean time deviations within all target delay verification periods are summed and averaged to obtain the overall mean time deviation within the target delay verification period, which is marked as T1. The formula: T 设定 =T0+T1 to get the collection interval setting value T 设定 ; If the target delay check period is a positive delay check period, then T 设定 =T0-T1 to get the collection interval setting value T 设定 .

[0015] As a further technical solution of the present invention, the method for obtaining the percentage performance value is: By formula: The data accuracy value ZQ is calculated, where jg represents the power data of the metering interval meter, and ck represents the power data of the data reference source; Compare the data accuracy value to the data accuracy threshold: If the data accuracy value is greater than the data accuracy threshold, it means that the electricity data of the meter in the metering interval does not match the electricity data of the data reference source, and the electricity data of the meter in the metering interval is marked as non-matching electricity data; Acquire the quantity of non-matching electric quantity data in the collected electric quantity data of the metering interval meter, and perform ratio processing on the quantity of non-matching electric quantity data with the quantity of the collected electric quantity data of the metering interval meter to obtain the quantity ratio of non-matching electric quantity data; Perform difference processing on the data accuracy value corresponding to the non-matching electric quantity data and the data accuracy threshold to obtain the data accuracy deviation, sum and average all the data accuracy deviations to obtain the data accuracy deviation mean, perform ratio processing on the data accuracy deviation mean and the data accuracy threshold to obtain the data accuracy deviation mean ratio; The number ratio of non-matching power data is marked as WH, and the mean ratio of data accuracy deviation is marked as JZ; By formula: The proportion performance value ZBs is obtained, where z1 and z2 are both preset proportion coefficients.

[0016] A full power collection data verification system comprises: Synchronous analysis module: in multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meter collected at different collection times in each historical verification cycle, and the timestamps of the electricity data of the data reference source, and perform comparative analysis, mark its historical verification cycle, obtain the delay verification cycle, and obtain the delay performance value based on the analysis of the delay verification cycle. Compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; Collection and control module: Based on the regular asynchronous signal, the collection interval setting coefficient is obtained, and the power data of the data reference source is collected according to the collection interval setting coefficient to improve the accuracy of power data verification; Data marking module: based on the collection interval time setting coefficient, the power data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the power data of the meter at the metering interval, and the calculation result is compared with the corresponding data accuracy threshold. According to the comparison result, it is determined whether the power data of the meter at the metering interval is consistent with the power data of the data reference source, and the power data of the meter at the metering interval is marked to obtain the non-consistent power data; Data consistency analysis and evaluation module: obtain the percentage performance value of the non-matching electricity data within the verification period, compare the percentage performance value with the percentage performance threshold, and determine the accuracy of data consistency between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source.

[0017] The beneficial effects of the present invention are as follows: 1. In multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meter collected at different collection times in each historical verification cycle. At the same time, obtain the timestamps of the electricity data of the collected data reference source at different collection times, compare and analyze the timestamps of the electricity data of the metering interval meter and the timestamps of the electricity data of the data reference source, mark its historical verification cycle, obtain the delay verification cycle, and obtain the delay performance value based on the analysis of the delay verification cycle. Compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, generate a regular asynchronous signal, and based on the regular asynchronous signal, obtain the collection interval time setting coefficient, collect the electricity data of the data reference source according to the collection interval time setting coefficient, and improve the accuracy of electricity data verification.

[0018] 2. The present invention sets a coefficient based on the collection interval time, collects the electricity data of the data reference source within the verification period, and calculates the data accuracy value in combination with the electricity data of the metering interval meter, and compares the calculation result with the corresponding data accuracy threshold, and judges whether the electricity data of the metering interval meter is consistent with the electricity data of the data reference source according to the comparison result, and marks the electricity data of the metering interval meter to obtain inconsistent electricity data, obtain the proportion performance value of the inconsistent electricity data within the verification period, compare the proportion performance value with the proportion performance threshold, and judge the accuracy of data consistency between the electricity data of the metering interval meter and the electricity data of the data reference source within the verification period, thereby realizing single verification and overall verification of the electricity data. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1 is a flow chart of Embodiment 1 of the present invention; Figure 2 is a flow chart of Embodiment 2 of the present invention; Figure 3 It is a system module diagram of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0021] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods. Example 1

[0022] like Figure 1 As shown, a method for verifying full power collection data according to an embodiment of the present invention includes: Step 1: within multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meter collected at different collection times within each historical verification cycle, and at the same time, obtain the timestamps of the electricity data of the collected data reference source at different collection times, compare and analyze the timestamps of the electricity data of the metering interval meter and the timestamps of the electricity data of the data reference source, mark its historical verification cycle, obtain the delay verification cycle, and obtain the delay performance value based on the analysis of the delay verification cycle, compare the delay performance value with the delay performance threshold, if the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; The electric quantity data of the metering interval meter and the electric quantity data of the data reference source include but are not limited to current, voltage, active power and reactive power; It should be noted that the historical verification period indicates the duration of the verification of the electricity data in the past according to the verification requirements. The electricity data of the metering interval meter is collected at the same time as the electricity data of the data reference source. In some embodiments, the timestamp of the electricity data of the metering interval meter collected at the same collection time within the historical verification period and the timestamp of the electricity data of the data reference source are integrated into a timestamp group; Compare timestamps within a timestamp group: If the timestamps in a timestamp group are not equal, then the timestamp group is marked as an abnormal timestamp group; If the timestamps in a timestamp group are equal, then the timestamp group is marked as a normal timestamp group; The number of abnormal timestamp groups in all timestamp groups is obtained, and the number of abnormal timestamp groups is compared with the number of timestamp groups to obtain the ratio of the number of abnormal timestamp groups, which is marked as Ys. Perform difference processing on the timestamps in the abnormal timestamp group to obtain the time deviation of the abnormal timestamp group; The time deviation of the abnormal timestamp group = the timestamp of the electricity data of the metering interval meter - the timestamp of the electricity data of the data reference source; If the time deviation is negative, its abnormal timestamp group is marked as a negative abnormal timestamp group; If the time deviation is positive, its abnormal timestamp group is marked as a positive abnormal timestamp group; Count the number of positive abnormal timestamp groups and the number of negative abnormal timestamp groups in all abnormal timestamp groups. If the number of positive abnormal timestamp groups is greater than the number of negative abnormal timestamp groups, mark the positive abnormal timestamp group as the first timestamp group. If the number of positive abnormal timestamp groups is less than the number of negative abnormal timestamp groups, mark the negative abnormal timestamp group as the first timestamp group. Ratio the number of the first timestamp group to the number of abnormal timestamp groups to obtain the first timestamp group quantity ratio, which is marked as Dy. It should be noted that if the number of positive abnormal timestamp groups is equal to the number of negative abnormal timestamp groups, the analysis of the timestamp groups in the historical verification cycle is stopped and the timestamp groups in the next historical verification cycle are analyzed; Obtain the time deviations of all first timestamp groups, and sum and average them after taking their absolute values ​​to obtain the absolute mean of the time deviations, perform difference processing on the time deviations of the first timestamp group and the absolute mean of the time deviations, and take the absolute value of the difference to obtain the time relative deviation of the first timestamp group, sum and average the time relative deviations of all first timestamp groups to obtain the time relative deviation mean of the first timestamp group, perform ratio processing on the time relative deviation mean of the first timestamp group and the absolute mean of the time deviation to obtain the deviation performance value of the first timestamp group, and mark it as Bx; The obtained abnormal timestamp group quantity ratio Ys, the first timestamp group quantity ratio Dy and the deviation performance value Bx of the first timestamp group are processed by the formula: The time deviation performance value YB is obtained, where s1, s2 and s3 are all prediction proportional coefficients; In some embodiments, the time deviation performance value YB is compared with a time deviation number performance threshold; If the time deviation performance value YB is greater than or equal to the time deviation performance threshold, it means that within the historical verification period, the time deviation between the electricity data of the metering interval meter collected at the same collection time and the electricity data of the data reference source is large, the synchronization is low, and the time deviation between them is highly consistent within the historical verification period, and there is a regular time deviation, then the historical verification period is marked as a delayed verification period; If the time deviation performance value YB is less than the time deviation number performance threshold, it means that within the historical verification period, the electricity data of the metering interval meter collected at the same collection time and the electricity data of the data reference source have a small time deviation and high synchronization, and the consistency of the time deviation between them within the historical verification period is low, and there is no regular time deviation, then its historical verification period is marked as a delayed verification period, and its historical verification period is marked as a non-delayed verification period; Obtain the number of its delayed verification cycles, perform ratio processing on the number of delayed verification cycles and the number of historical verification cycles to obtain the number ratio of delayed verification cycles, and mark it as SL; In the delay check period, if the first timestamp group is a negative abnormal timestamp group, the delay check period is marked as a negative delay check period, and if the first timestamp group is a positive abnormal timestamp group, the delay check period is marked as a positive delay check period; Count the number of positive delay check cycles and the number of negative delay check cycles in all delay check cycles. If the number of positive delay check cycles is greater than the number of negative delay check cycles, mark the positive delay check cycle as the target delay check cycle. If the number of positive delay check cycles is less than the number of negative delay check cycles, mark the negative delay check cycle as the target delay check cycle. Ratio the number of target delay check cycles to the number of delay check cycles to obtain the number ratio of target delay check cycles, and mark it as HD. It should be noted that if the number of positive delay verification cycles and the number of negative delay verification cycles are equal, it is determined that the data update synchronization between the power data of the metering interval meter and the power data of the data reference source is good and there is no regular time deviation in the data update; Obtain the deviation performance value Bx of the first timestamp group within the target delay verification period, sum and average the deviation performance values ​​Bx of the first timestamp group within all target delay verification periods, obtain the deviation performance mean of the target delay verification period, perform difference processing on the deviation performance value Bx of the first timestamp group within the target delay verification period and the deviation performance mean, and take the absolute value of the result to obtain the relative performance difference of the target delay verification period, sum and average the relative performance differences of all target delay verification periods to obtain the relative performance difference mean of the target delay verification period, perform ratio processing on the relative performance difference mean of the target delay verification period and the deviation performance mean of the target delay verification period to obtain the relative performance value of the target delay verification period, and mark it as XD; The obtained delay check cycle number ratio SL, target delay check cycle number ratio HD and target delay check cycle relative performance value XD are processed and the formula is used: Obtain a delay performance value YC, where a1, a2 and a3 are all preset proportional coefficients; In some embodiments, the latency performance value is compared to a latency performance threshold: If the delay performance value is greater than or equal to the delay performance threshold, it means that within multiple historical verification cycles, the electricity data of the metering interval meter collected at the same collection time and the electricity data of the data reference source have a large time deviation and low synchronization, and the time deviation between them is highly consistent within multiple historical verification cycles, and there is a regular time deviation, generating a regular asynchronous signal; If the delay performance value is less than the delay performance threshold, it means that in multiple historical verification cycles, the electricity data of the metering interval meter collected at the same collection time and the electricity data of the data reference source have a small time deviation and high synchronization, and the consistency of the time deviation between them in the historical verification cycle is low, and there is no regular time deviation; Step 2: Based on the regular asynchronous signal, the collection interval setting coefficient is obtained, and the power data of the data reference source is collected according to the collection interval setting coefficient to improve the accuracy of the power data verification; Wherein, the collection interval time setting coefficient includes the collection interval time setting value; Specifically, the target delay verification period is obtained. If the target delay verification period is a negative delay verification period, the interval time of the electricity data collected from the metering interval meter in the historical verification period is obtained and marked as T0. The time deviations of all abnormal timestamp groups in the target delay verification period are averaged after taking the absolute values ​​to obtain the mean time deviation in the target delay verification period. The mean time deviations in all target delay verification periods are summed and averaged to obtain the overall mean time deviation in the target delay verification period, which is marked as T1. By formula: T 设定 =T0+T1 to get the collection interval setting value T 设定 ; If the target delay check period is a positive delay check period, then T 设定 =T0-T1 to get the collection interval setting value T 设定 ; The technical solution of the embodiment of the present invention is: within multiple historical verification cycles, the timestamp of the electricity data of the metering interval meter collected at different collection times within each historical verification cycle is obtained, and at the same time, the timestamp of the electricity data of the collected data reference source at different collection delay verification cycles is obtained, based on the comparison and analysis of the timestamp of the electricity data of the metering interval meter and the timestamp of the electricity data of the data reference source, the historical verification cycle is marked and obtained, and based on the analysis of the delay verification cycle, the delay performance value is obtained, and the delay performance value is compared with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated. Based on the regular asynchronous signal, the collection interval time setting coefficient is obtained, and the electricity data of the data reference source is collected according to the collection interval time setting coefficient, so as to improve the accuracy of the electricity data verification. Example 2

[0023] like Figure 2 As shown, based on Example 1, a method for verifying full power collection data according to an embodiment of the present invention includes: Step 3: Based on the collection interval time setting coefficient, the power data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the power data of the meter at the metering interval, and the calculation result is compared with the corresponding data accuracy threshold. According to the comparison result, it is determined whether the power data of the meter at the metering interval is consistent with the power data of the data reference source, and the power data of the meter at the metering interval is marked to obtain the non-consistent power data; It should be noted that during the verification period, the power data of the data reference source is set according to the interval time coefficient T 设定 Data collection, the electricity data of the metering interval meter is collected according to T0; Specifically, the calculation of data accuracy value is: By formula: The data accuracy value ZQ is calculated, where jg represents the power data of the meter at the metering interval, and ck represents the power data of the data reference source; Compare the data accuracy value to the data accuracy threshold: If the data accuracy value is greater than the data accuracy threshold, it means that the electricity data of the meter in the metering interval does not match the electricity data of the data reference source, and the electricity data of the meter in the metering interval is marked as non-matching electricity data; If the data accuracy value is less than or equal to the data accuracy threshold, it means that the electricity data of the metering interval meter is consistent with the electricity data of the data reference source, and it is marked as consistent electricity data; It should be noted that the data accuracy threshold includes a voltage accuracy threshold, a current accuracy threshold and a power accuracy threshold, wherein the voltage accuracy threshold is used when the power data is voltage, the current accuracy threshold is used when the power data is current, and the power accuracy threshold is used when the power data is active power or reactive power. The following is an exemplary description of how to obtain the data accuracy threshold: The power accuracy threshold is set as follows: the power accuracy threshold is determined according to the power meter accuracy Lm and the data reference source data current accuracy Li and voltage accuracy = (1-Lm) / (1-Li)*(1-Lu)-1; The current accuracy threshold is set as follows: the current accuracy threshold is determined according to the electric energy meter accuracy Lm and the data reference source data current accuracy Li = (1+Lm) / (1-Li)-1; The voltage accuracy threshold is set as follows: the voltage accuracy threshold is determined according to the electric energy meter accuracy Lm and the data reference source data voltage accuracy Lu = (1+Lm) / (1-Lu)-1; Step 4: Obtain the percentage performance value of the non-matching electricity data within the verification period, compare the percentage performance value with the percentage performance threshold, and determine the accuracy of data matching between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source; Acquire the quantity of non-matching electric quantity data in the collected electric quantity data of the metering interval meter, and perform ratio processing on the quantity of non-matching electric quantity data with the quantity of the collected electric quantity data of the metering interval meter to obtain the quantity ratio of non-matching electric quantity data; Perform difference processing on the data accuracy value corresponding to the non-matching electric quantity data and the data accuracy threshold to obtain the data accuracy deviation, sum and average all the data accuracy deviations to obtain the mean value of the data accuracy deviation, perform ratio processing on the mean value of the data accuracy deviation and the data accuracy threshold to obtain the data accuracy deviation mean ratio; The number ratio of non-matching power data is marked as WH, and the mean ratio of data accuracy deviation is marked as JZ; By formula: The proportion performance value ZBs is obtained, where z1 and z2 are both preset proportion coefficients; In some embodiments, the share performance value is compared to a share performance threshold; If the percentage performance value is greater than the percentage performance threshold, it means that the accuracy of the data matching between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source is low; If it is less than or equal to the percentage performance threshold, it means that the data consistency between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source is highly accurate.

[0024] The technical solution of the embodiment of the present invention is: based on the collection interval time setting coefficient, the electricity data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the electricity data of the metering interval meter, and the calculation result is compared with the corresponding data accuracy threshold, and the comparison result is judged whether the electricity data of the metering interval meter is consistent with the electricity data of the data reference source, and the electricity data of the metering interval meter is marked to obtain the non-consistent electricity data, and the proportion performance value of the non-consistent electricity data within the verification period is obtained, and the proportion performance value is compared with the proportion performance threshold, and the accuracy of the data consistency between the electricity data of the metering interval meter and the electricity data of the data reference source within the verification period is judged, thereby realizing single verification and overall verification of the electricity data. Example 3

[0025] like Figure 3 As shown, a full power collection data verification system according to an embodiment of the present invention includes: Synchronous analysis module: within multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meter collected at different collection times within each historical verification cycle, and at the same time, obtain the timestamps of the electricity data of the collected data reference source at different collection times, compare and analyze the timestamps of the electricity data of the metering interval meter and the timestamps of the electricity data of the data reference source, mark its historical verification cycle, obtain the delay verification cycle, and obtain the delay performance value based on the analysis of the delay verification cycle, compare the delay performance value with the delay performance threshold, if the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; Collection and control module: Based on the regular asynchronous signal, the collection interval setting coefficient is obtained, and the power data of the data reference source is collected according to the collection interval setting coefficient to improve the accuracy of power data verification; Data marking module: based on the collection interval time setting coefficient, the power data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the power data of the meter at the metering interval, and the calculation result is compared with the corresponding data accuracy threshold. According to the comparison result, it is determined whether the power data of the meter at the metering interval is consistent with the power data of the data reference source, and the power data of the meter at the metering interval is marked to obtain the non-consistent power data; Data consistency analysis and evaluation module: obtain the percentage performance value of the non-matching electricity data within the verification period, compare the percentage performance value with the percentage performance threshold, and determine the accuracy of data consistency between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for checking full power collection data, characterized in that: include: In multiple historical verification cycles, the timestamps of the electricity data of the metering interval meters collected at different collection times in each historical verification cycle and the timestamps of the electricity data of the data reference source are obtained, and compared and analyzed. The historical verification cycle is marked according to the analysis results to obtain the delay verification cycle. Based on the analysis of the delay verification cycle, the delay performance value is obtained; Compare the delay performance value with the delay performance threshold, if the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the power data of the metering interval meter and the power data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; Based on the regular asynchronous signal, the collection interval setting coefficient is obtained, and based on the collection interval setting coefficient, the power data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the power data of the metering interval meter, and the calculation result is compared with the corresponding data accuracy threshold, and according to the comparison result, it is judged whether the power data of the metering interval meter is consistent with the power data of the data reference source, and the power data of the metering interval meter is marked to obtain the non-consistent power data; Obtain the percentage performance value of the non-matching electricity data within the verification period, compare the percentage performance value with the percentage performance threshold, and determine the accuracy of data matching between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source.

2. A method for checking full power collection data according to claim 1, characterized in that: The acquisition process of the delay verification period is as follows: The number ratio Ys of the abnormal timestamp group, the number ratio Dy of the first timestamp group, and the deviation performance value Bx of the first timestamp group are obtained and data processing is performed, through the formula: The time deviation performance value YB is obtained, where s1, s2 and s3 are all prediction proportional coefficients; Compare the time deviation performance value YB with the time deviation number performance threshold; If the time deviation performance value YB is greater than or equal to the time deviation performance threshold, the historical verification period is marked as a delayed verification period.

3. A method for checking full power collection data according to claim 2, characterized in that: The number ratio Ys of the abnormal timestamp group is obtained as follows: Integrate the timestamp of the electricity data of the metering interval meter collected at the same collection time within the historical verification period and the timestamp of the electricity data of the data reference source into a timestamp group; Compare timestamps within a timestamp group: If the timestamps in a timestamp group are not equal, then the timestamp group is marked as an abnormal timestamp group; The number of abnormal timestamp groups in all timestamp groups is obtained, and the number of abnormal timestamp groups is compared with the number of timestamp groups to obtain the ratio of the number of abnormal timestamp groups Ys; The first timestamp group quantity ratio Dy is obtained in the following manner: Perform difference processing on the timestamps in the abnormal timestamp group to obtain the time deviation of the abnormal timestamp group; If the time deviation is negative, its abnormal timestamp group is marked as a negative abnormal timestamp group; If the time deviation is positive, its abnormal timestamp group is marked as a positive abnormal timestamp group; Count the number of positive abnormal timestamp groups and the number of negative abnormal timestamp groups in all abnormal timestamp groups. If the number of positive abnormal timestamp groups is greater than the number of negative abnormal timestamp groups, mark the positive abnormal timestamp group as the first timestamp group. If the number of positive abnormal timestamp groups is less than the number of negative abnormal timestamp groups, mark the negative abnormal timestamp group as the first timestamp group. Ratio the number of first timestamp groups to the number of abnormal timestamp groups to obtain the first timestamp group quantity ratio, which is marked as Dy.

4. A method for checking full power collection data according to claim 2, characterized in that: The deviation performance value Bx of the first timestamp group is obtained as follows: Perform difference processing on the timestamps in the first timestamp group to obtain the time deviation of the first timestamp group, sum and average the time deviations of all the first timestamp groups after taking the absolute values ​​to obtain the absolute mean of the time deviations, perform difference processing on the time deviation of the first timestamp group and the absolute mean of the time deviations, and take the absolute value of the difference to obtain the time relative deviation of the first timestamp group, sum and average the time relative deviations of all the first timestamp groups to obtain the time relative deviation mean of the first timestamp group, perform ratio processing on the time relative deviation mean of the first timestamp group and the absolute mean of the time deviation to obtain the deviation performance value of the first timestamp group, and mark it as Bx.

5. A method for checking full power collection data according to claim 1, characterized in that: The delay performance value is obtained in the following manner: Obtain the number ratio SL of the delay check cycle, the number ratio HD of the target delay check cycle, and the relative performance value XD of the target delay check cycle and perform data processing, using the formula: Obtain a delay performance value YC, where a1, a2 and a3 are all preset proportional coefficients; The number ratio SL of the delay check period is obtained as follows: The number of its delayed verification cycles is obtained, and the number of delayed verification cycles is ratioed with the number of historical verification cycles to obtain a delayed verification cycle ratio SL.

6. A method for checking full power collection data according to claim 5, characterized in that: The target delay check period number ratio HD is obtained as follows: In the delay check period, if the first timestamp group is a negative abnormal timestamp group, the delay check period is marked as a negative delay check period, and if the first timestamp group is a positive abnormal timestamp group, the delay check period is marked as a positive delay check period; Count the number of positive delay check cycles and the number of negative delay check cycles in all delay check cycles. If the number of positive delay check cycles is greater than the number of negative delay check cycles, mark the positive delay check cycle as the target delay check cycle. If the number of positive delay check cycles is less than the number of negative delay check cycles, mark the negative delay check cycle as the target delay check cycle. Ratio the number of target delay check cycles to the number of delay check cycles to obtain the target delay check cycle ratio HD.

7. A method for checking full power collection data according to claim 5, characterized in that: The relative performance value XD of the target delay check period is obtained as follows: Obtain the deviation performance value Bx of the first timestamp group within the target delay verification period, sum and average the deviation performance values ​​Bx of the first timestamp group within all target delay verification periods to obtain the deviation performance mean of the target delay verification period, perform difference processing on the deviation performance value Bx of the first timestamp group within the target delay verification period and the deviation performance mean, and take the absolute value of the result to obtain the relative performance difference of the target delay verification period, sum and average the relative performance differences of all target delay verification periods to obtain the relative performance difference mean of the target delay verification period, perform ratio processing on the relative performance difference mean of the target delay verification period and the deviation performance mean of the target delay verification period to obtain the relative performance value XD of the target delay verification period.

8. A method for checking full power collection data according to claim 1, characterized in that: The collection interval time setting coefficient includes a collection interval time setting value; The acquisition method of the acquisition interval setting value is: Get the target delay verification period. If the target delay verification period is a negative delay verification period, then get the interval time of collecting the electricity data of the metering interval meter within the historical verification period and mark it as T 0， The time deviations of all abnormal timestamp groups within the target delay verification period are averaged after taking their absolute values ​​to obtain the mean time deviation within the target delay verification period. The mean time deviations within all target delay verification periods are summed and averaged to obtain the overall mean time deviation within the target delay verification period, which is marked as T1. The formula: T 设定 =T0+T1 to get the collection interval setting value T 设定 ; If the target delay check period is a positive delay check period, then T 设定 =T0-T1 to get the collection interval setting value T 设定 .

9. A method for checking full power collection data according to claim 1, characterized in that: The method for obtaining the percentage performance value is as follows: By formula: The data accuracy value ZQ is calculated, where jg represents the power data of the meter at the metering interval, and ck represents the power data of the data reference source; Compare the data accuracy value to the data accuracy threshold: If the data accuracy value is greater than the data accuracy threshold, it means that the electricity data of the meter in the metering interval does not match the electricity data of the data reference source, and the electricity data of the meter in the metering interval is marked as non-matching electricity data; Acquire the quantity of non-matching electric quantity data in the collected electric quantity data of the metering interval meter, and perform ratio processing on the quantity of non-matching electric quantity data with the quantity of the collected electric quantity data of the metering interval meter to obtain the quantity ratio of non-matching electric quantity data; Perform difference processing on the data accuracy value corresponding to the non-matching electric quantity data and the data accuracy threshold to obtain the data accuracy deviation, sum and average all the data accuracy deviations to obtain the data accuracy deviation mean, perform ratio processing on the data accuracy deviation mean and the data accuracy threshold to obtain the data accuracy deviation mean ratio; The number ratio of non-matching power data is marked as WH, and the mean ratio of data accuracy deviation is marked as JZ; By formula: The proportion performance value ZBs is obtained, where z1 and z2 are both preset proportion coefficients.

10. A full power collection data verification system, the system is used to implement the data verification method according to any one of claims 1 to 9, characterized in that: include: Synchronous analysis module: in multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meter collected at different collection times in each historical verification cycle, and the timestamps of the electricity data of the data reference source, and perform comparative analysis, mark its historical verification cycle, obtain the delay verification cycle, and obtain the delay performance value based on the analysis of the delay verification cycle. Compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; Collection and control module: Based on the regular asynchronous signal, the collection interval setting coefficient is obtained, and the power data of the data reference source is collected according to the collection interval setting coefficient to improve the accuracy of power data verification; Data marking module: based on the collection interval time setting coefficient, the power data of the data reference source is collected within the verification period, and the data accuracy value is calculated in combination with the power data of the meter at the metering interval, and the calculation result is compared with the corresponding data accuracy threshold. According to the comparison result, it is determined whether the power data of the meter at the metering interval is consistent with the power data of the data reference source, and the power data of the meter at the metering interval is marked to obtain the non-consistent power data; Data consistency analysis and evaluation module: obtain the percentage performance value of the non-matching electricity data within the verification period, compare the percentage performance value with the percentage performance threshold, and determine the accuracy of data consistency between the electricity data of the metering interval meter within the verification period and the electricity data of the data reference source.

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